This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
As datacenters evolve from traditional compute and storage facilities into AI powerhouses, the demand for qualified professionals continues to grow exponentially and salaries are high. The rise of AI, in particular, is dramatically reshaping the technology industry, and datacenters are at the epicenter of the changes.
Enterprise IT leaders are facing a double-whammy of uncertainties complicating their datacenter building decisions: The ever-changing realities of genAI strategies, and the back-and-forth nature of the current tariff wars pushed by the United States. And if you slow down AI, that will slow down the datacenters.
Even as demand for data infrastructure surges to an all-time high, Equinix is planning to lay off 3% of its workforce, suggesting a growing skills mismatch in the industry. According to Goldman Sachs , datacenter demand in the US alone is projected to nearly triple by 2030, driving more than $1 trillion in investment.
In 2019, Gartner analyst Dave Cappuccio issued the headline-grabbing prediction that by 2025, 80% of enterprises will have shut down their traditional datacenters and moved everything to the cloud. The enterprise datacenter is here to stay. As we enter 2025, here are the key trends shaping enterprise datacenters.
Read more: 5 alternatives to VMware vSphere virtualization platform ]] This dilemma of whether to absorb the Broadcom price hikes or embark on the arduous and risky journey of untangling from the VMware ecosystem is triggering a broader C-level conversation around virtualization strategy. Theyre still the Lamborghini.
There are many alternatives for organizations unhappy with the direction that Broadcom is taking the VMware virtualization platform. This enables enterprises to take a more thoughtful and methodical approach to shifting its virtualization strategy away from Broadcom. Heres a brief synopsis of each one: 1.
AMDs Secure Encrypted Virtualization (SEV), meant to protect processor memory from prying eyes in virtual machine (VM) environments, can be tricked into giving access to its encrypted memory contents using a test rig costing less than $10, researchers have revealed.
VergeIO is looking to shake up the virtual infrastructure market with its approach to virtualization and software-defined networking. At the core of VergeIOs offering is its VergeOS platform, which takes a fundamentally different approach compared to traditional virtual infrastructure solutions like VMware.
Considerable amounts of data are collected on the edge. Edge servers do the job of culling the useless data and sending only the necessary data back to datacenters for processing. Liquid cooling gains ground: Liquid cooling is inching its way in from the fringes into the mainstream of datacenter infrastructure.
The Singapore government is advancing a green datacenter strategy in response to rising demand for computing resources, driven in large part by resource-hungry AI projects. Datacenters can potentially benefit from 2% to 5% energy savings for every 1C increase in operating temperature.
Companies are already committed to a virtual form of networking for their WAN services, based on VPN s or SD-WAN , rather than building their own WANs from pipes and routers. That was a big step, so what could be happening to make WANs even more virtual, to the point where the cloud could subsume them?
Juniper Networks continues to fill out its core AI AI-Native Networking Platform, this time with a focus on its Apstra datacenter software. New to the platform is Juniper Apstra Cloud Services, a suite of cloud-based, AI-enabled applications for the datacenter, released along with the new 5.0
Currently, enterprises primarily use AI for generative video, text, and image applications, as well as enhancing virtual assistance and customer support. Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. Cost, by comparison, ranks a distant 10th.
While many organizations have already run a small number of successful proofs of concept to demonstrate the value of gen AI , scaling up those PoCs and applying the new technology to other parts of the business will never work until producing AI-ready data becomes standard practice. This tends to put the brakes on their AI aspirations.
The vendors AI Defense package offers protection to enterprise customers developing AI applications across models and cloud services, according to Tom Gillis, senior vice president and general manager of Ciscos Security, DataCenter, Internet & Cloud Infrastructure groups. It uses AI to protect AI, Gillis added.
The products that Klein particularly emphasized at this roundtable were SAP Business Data Cloud and Joule. Business Data Cloud, released in February , is designed to integrate and manage SAP data and external data not stored in SAP to enhance AI and advanced analytics.
Tech conferences – in person and virtual – give attendees a chance to access product demos, network with peers, earn continuing education credits, and catch a celebrity keynote or live entertainment (Elton John performed at this year’s Cisco Live event).
BlueField data processing units (DPUs) are designed to offload and accelerate networking traffic and specific tasks from the CPU like security and storage. Morpheus is a GPU-accelerated data processing framework optimized for cybersecurity, using deep learning and machine learning models to detect and mitigate cyber threats in real time.
The landscape of datacenter infrastructure is shifting dramatically, influenced by recent licensing changes from Broadcom that are driving up costs and prompting enterprises to reevaluate their virtualization strategies. Clients are seeing increased costs with on-premises virtualization with Broadcom’s acquisition of VMware.
In terms of security, the APs feature advanced threat detection capabilities, and they can secure every connection with AI-native device profiling, threat prevention, and advanced wireless security and data encryption, Huang stated. The APs come with built-in Bluetooth Low Energy, ultra-wideband, and GPS capabilities.
Red Hat is updating its OpenShiftplatform with a series of capabilities that will provide more advanced networking and virtualization functionality for cloud-native deployments. The custom UDNs are being integrated into the open virtual networking (OVN) Kubernetes container networking interface (CNI). In particular, OpenShift 4.18
A digital workspace is a secured, flexible technology framework that centralizes company assets (apps, data, desktops) for real-time remote access. Digital workspaces encompass a variety of devices and infrastructure, including virtual desktop infrastructure (VDI), datacenters, edge technology, and workstations.
Enterprise data storage skills are in demand, and that means storage certifications can be more valuable to organizations looking for people with those qualifications. Here are some of the leading data storage certifications, along with information on cost, duration of the exam, skills acquired, and other details.
New data from research firm Gartner might give IT leaders pause, however, as analysts detail the long, costly, and risky road ahead for enterprise organizations considering a large-scale VMware migration. Add to all this personnel costs, and the expense might not be worth it.
The blueprints require Nvidias AI Enterprise Software, which means it can only be run on cloud services from AWS, Google, Microsoft, and Oracle or Nvidia certified datacenter equipment from Dell, HPE, Lenovo, and Supermicro. The blueprints run on Nvidias new Nemotron models, built on Metas Llama LLM.
One of the newer technologies gaining ground in datacenters today is the Data Processing Unit (DPU). As VMware has observed , “In simple terms, a DPU is a programable device with hardware acceleration as well as having an ARM CPU complex capable of processing data.
Virtually every company relied on cloud, connectivity, and security solutions, but no technology organization provided all three. At 11:11, we offer real data on what it will take to migrate to our platform and achieve multi- and hybrid cloud success. “At In 2020, 11:11 CEO Brett Diamond noticed a gap in the market.
To keep up, IT must be able to rapidly design and deliver application architectures that not only meet the business needs of the company but also meet data recovery and compliance mandates. Moving applications between datacenter, edge, and cloud environments is no simple task.
Cisco has added new cloud and virtual deployment options for customers looking to buy into its Tetration Analytics security system. Don’t miss customer reviews of top remote access tools and see the most powerful IoT companies. | Get daily insights by signing up for Network World newsletters. ].
to 250 GiB per core, which the company says will offer customers a more powerful hyperconverged infrastructure offering for running virtual machines and containers. VMware Explore 2024 Broadcom bolsters VMware Cloud Foundation Nov. 1, 2024: V Mware increased the vSAN capacity in vSphere Foundation by 2.5x
But the challenge of getting Arm into enterprise datacenters lies in all the legacy code. The new Graviton4 instances, called R8g, support up to 8GB of memory per virtual processor and up to 192 processors. Other hyperscalers have also been able to jumpstart Arm projects.
We have invested in the areas of security and private 5G with two recent acquisitions that expand our edge-to-cloud portfolio to meet the needs of organizations as they increasingly migrate from traditional centralized datacenters to distributed “centers of data.”
Juniper Networks is advancing the software for its AI-Native Networking Platform to help enterprise customers better manage and support AI in their datacenters. The HPE acquisition target is also offering a new validated design for enterprise AI clusters and has opened a lab to certify enterprise AI datacenter projects.
billion buy of Hashicorp, IBM said its goal is to infuse HashiCorp automation and security technology in every datacenter possible. With the deal, which was 10 months in the making , IBM plans to further integrate HashiCorps automation technology into its Red Hat, watsonx, data security, IT automation, and consulting businesses.
The reality of what can be accomplished with current GenAI models, and the state of CIO’s data will not meet today’s lofty expectations.” GenAI will easily eclipse the effects that cloud and outsourcing vendors had on previous years regarding datacenter systems,” according to Lovelock. “It
Gartner unveiled this year's list at its flagship IT Symposium/Xpo Americas conference, which is being held virtually this year. READ MORE: VMware highlights security in COVID-era networking | Essential edge-computing use cases | How AI can boost data-center availability, efficiency To read this article in full, please click here
When it comes to protecting data-center-based resources in the highly distributed world, traditional security hardware and software components just aren’t going to cut it. To read this article in full, please click here
Historically, datacentervirtualization pioneer VMware was seen as a technology leader, but recent business changes have stirred consternation since its acquisition by Broadcom in late 2023. This is prompting the CIO shift to hybrid and multicloud.
For good business reasons, more than up to 50% of applications and data remain on-premises in datacenters, colocations, and edge locations, according to 451 Research. This is due to issues like data gravity, latency, application dependency, and regulatory compliance.
According to the 2024 State of Production Kubernetes report from Spectro Cloud, 85% of organizations have Kubernetes in virtualizeddatacenters, and 75% of organizations are committed to adopting Kubernetes for future infrastructure needs.
Were 80 to 85% in the cloud and for us, the job is proactively tracking this spend, then educating developers and data teams on how to use cloud capabilities in a cost-effective manner, he says. And with 70-plus AWS services, 150,000 compute instances, and an exabyte of data, theres a lot to manage.
But because the popular virtualization platform can be too expensive and pervasive to replace even if they may want to, they may find themselves with a mainframe-type of dilemma. VMware now has several competitors in the virtualization space, with more than 30 server virtualization vendors listed in a recent Gartner market guide.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content